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What is t-SNE?

Analytics Vidhya

t-SNE ( t-Distributed Stochastic Neighbor Embedding) is a technique that visualizes high dimensional data by giving each point a location in a two or three-dimensional map. The technique is the…

t-SNE clearly explained

Towards Data Science

An intuitive explanation of t-SNE algorithm and why it's so useful in practice.

Why You Are Using t-SNE Wrong

Towards Data Science

t-SNE has become a very popular technique for visualizing high dimensional data. It’s extremely common to take the features from an inner layer of a deep learning model and plot them in 2-dimensions…

Revealing the Magic Behind t-SNE

Towards Data Science

What you see below is a 2D representation of the MNIST dataset, containing handwritten digits between 0 and 9. It was produced by t-SNE, a fully unsupervised algorithm. Data in real-life applications…...

t-SNE: Behind the Math

Towards Data Science

Being one of the most talked about dimensionality reduction algorithms in the recent years, especially for visualizations, I thought I’d take some time to help others develop an intuition on what…

T-SNE INTUITION

Analytics Vidhya

Like PCA, t-SNE, or t-distributed Stochastic Neighborhood Embedding, is a visualization and dimensionality reduction algorithm. However, unlike PCA, t-SNE is a highly advanced State of the Art (SOTA)…...

What, Why and How of t-SNE

Towards Data Science

Imagine the data we create in a single day; the news generated, posts, videos, images on social media platforms, messages on communication channels, websites which help business and many more… Huge…

How to Use t-SNE Effectively

Distill

Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effecti...

t-SNE Python Example

Towards Data Science

t-Distributed Stochastic Neighbor Embedding (t-SNE) is a dimensionality reduction technique used to represent high-dimensional dataset in a low-dimensional space of two or three dimensions so that we…...

Formulating and Implementing the t-SNE Algorithm From Scratch

The AiEdge Newsletter

Today, you will learn every detail about t-SNE! I am excited to introduce you to Avi Chawla! He is an exceptional Data Scientist and Data Science content creator, and in this guest post, he presents t...

t-SNE from Scratch (ft. NumPy)

Towards Data Science

Cover Image by Author Acquire a deep understanding of the inner workings of t-SNE via implementation from scratch in python I have found that one of the best ways to truly understanding any statistica...

An Introduction to t-SNE with Python Example

Towards Data Science

I’ve always had a passion for learning and consider myself a lifelong learner. Being at SAS, as a data scientist, allows me to learn and try out new algorithms and functionalities that we regularly…